https://www.jobsatcu.com/postings/85372
The Cooperative Institute for Research in Environmental Sciences (CIRES)
in Boulder, Colorado is seeking a scientist to work in the NOAA Earth
System Research Laboratory/Physical Sciences Division (PSD) to conduct
studies on the physical and statistical processes associated with
climate variations and extreme events so as to improve understanding of
underlying causes and related predictability. This position is located
in Boulder, Colorado.
Responsibilities
The applicant would apply theory, numerical modeling, and statistical
methods to construct dynamical knowledge on the factors causing climate
variability on a wide range of space and time scales. The scope of the
work would involve deriving detailed and reliable information on the
sensitivity of climate to forcing including risk of extreme events due
to natural variability, and changes in the behavior of extreme events
due to global warming. The applicant would be engaged in design of
observational and modeling studies intended to diagnose and explain
causes for evolving climate conditions, including the causes of extreme
events such as floods, droughts, and heat waves.
The position involves working with a team of NOAA and University
scientists conducting near realtime attribution of evolving climate. The
scope of responsibilities includes the interpretation of observational
and reanalysis data sets and model simulations of forced and unforced
coupled ocean-atmosphere variability. The candidate would be engaged in
diagnosing global observational datasets and climate models, comparing
observational results with those predicted by theory, and the simulation
of the coupled system responses to natural and external forcing. The
applicant would contribute to activities to detect the effects of
forcings in climate and its impact on the physical and statistical
properties of extreme events using advanced statistical methods.
Minimum Qualifications
Requirements
The applicant will have a PhD degree in geophysical science.
The applicant will have demonstrated a particular focus on climate
dynamics. Additional knowledge in one or more of these areas is
desirable (i) diagnostic methods for determining physics of climate
variability, (ii) climate models and their applications, (iii) computing
systems to perform climate model simulations, (iv) statistical
techniques including detection techniques, extreme value theory, Bayes
estimation methods, and a large variety of analysis techniques such as
EOFs, SVD, SSA. The applicant is expected to contribute to a team
conducting near-realtime climate attribution, to conduct new research,
to lead in contributing to publications in peer-reviewed journals, and
give presentations of research at science conferences.